Hi
I have been using reading netcdf but I can't get the command to read grib
data. Please, I need help.
Thank you
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Sorry, I didn't reply the email, because I post my question to:
http://stackoverflow.com/questions/15511290/discrete-data-for-ggplot-stat-density2d
I switched to ggplot2, and tried stat_density2d. But I got error for a few
count data descriptors:
Error in function (x, y, h, n = 25, lims =
Dear All,
Please consider the snippet at the end of the email
The output of the randomForest model is rf1 (i.e. the trained model).
Now, is there a way to save this rf1 so that, in a different R session, I
can just load it without repeating the analysis?
Of course I have in mind much more
Hello,
?save can save any R object. To load it back into R, use ?load.
Hope this helps,
Rui Barradas
Em 23-03-2013 10:35, Lorenzo Isella escreveu:
Dear All,
Please consider the snippet at the end of the email
The output of the randomForest model is rf1 (i.e. the trained model).
Now, is there
Thanks to everyone on this.
Both Jeff's and Rui's approach worked. It looks like they do equivalent things
, that is supplying the x and y values in geom_rect. The worst of it is I
think I saw an example using the NULL NULL approach and did not realise the
significance of it.
John Kane
Hi everyone,
I wonder if I can get your help using a custom function in apply.
Imagine the following dataframe called data:
LowLim HighLim A1 A2 A3 A4
4 6 3 4 5 6
4 6 4 5 5
Dear All
If you could please help me with a solution on the following:
we have:
a -matrix(c(1,2,3,4,5))
x -matrix(c(0.3,0.2,0.1,0.08,0.05))
b -50*exp(-x[1]*a[1])
d -b*exp(-x[2]*a[2])
e -d*exp(-x[3]*a[3])
f -e*exp(-x[4]*a[4])
g -f*exp(-x[5]*a[5])
I would like to be able to calculate g with
Hello,
The following should be faster. It preallocates a vector of length nrows
instead of extending 'a' on every iteration.
a2 - character(nrows)
for(b in 1:nrows)
{
c= ColChange(data[b,1],data[b,2],data[b,3:6],2)
a2[b]=c
}
all.equal(c(a), a2)
As for the use of apply, I'm
Hello,
Try this one liner.
g2 - 50 * prod(exp(-x*a))
identical(g, g2) # TRUE
Hope this helps,
Rui Barradas
Em 23-03-2013 11:27, Andras Farkas escreveu:
Dear All
If you could please help me with a solution on the following:
we have:
a -matrix(c(1,2,3,4,5))
x
Hi,
I want to create a data frame including a column containing some special
characters, like ø. when I print that data frame out, the content change to
U+00F8, and when save the data frame to a txt file, the content keep in that
style, but I need it in its original form, anybody can
Hello John,
I apologize for the delayed response. Yes I am referring to the same type
of data in the data sets. For example, the arsenic concentrations in
individual groundwater monitoring wells at a groundwater contaminated site,
where one well may have 12 concentration measurements, another
Better(?):
The inequalities can be vectorized and rle() can then by apply()ed on the
rows:
(d is your data frame. data' is a really bad name)
out - d[,3:6] d[,1] d[,3:6]d[,2]
a - apply(as.matrix(out),1, rle)
a will be a list each component of which will have the consecutive runs
information
Hi,
I'm not sure if this is a question for just the maintainer, but I'm having
issues with the pan package. Using the author's example code
*data(marijuana)
# we only use the complete data to illustrate
marijuana - subset(marijuana,!is.na(y))
attach(marijuana)
pred -
Hi,
I am trying to run panel regression using Fixed and Random effects models. I
am getting the following error message after running the hausman test
Fmodel=plm(gdp ~ labour+gfcf+oil+coal+gas+hydroel+nuclear+rnwable, model =
within, data = new.frame,index = c(id))
Rmodel=plm(gdp ~
On Mar 23, 2013, at 7:08 AM, Huidong Tian wrote:
Hi,
I want to create a data frame including a column containing some special
characters, like ø. when I print that data frame out, the content change
to U+00F8, and when save the data frame to a txt file, the content keep in
that style,
Good afternoon.
I would like to know if there is any function in R to do LOOCV with these
classifiers:
1)SVM
2)Neural Networks
3)C4.5 ( J48)
4)KNN
Thanks a lot!
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
Hello again,
Let say I have following vector:
Vec - c(0.0365780769, (1.09738648244378), (0.812507787221523),
0.5778069963, (0.452456601362355), -1.8900812605, -1.8716093762,
0.0055217041, -0.4769192333, -2.4133018880)
Now I want to convert this vector to numeric vector. I am having
problem to
Hello,
Try the following. It issues a warning because of the second as.numeric.
(It still has the parenthesis.)
ifelse(grepl(\\(, Vec), -as.numeric(sub(\\((.*)\\), \\1, Vec)),
as.numeric(Vec))
Hope this helps,
Rui Barradas
Em 23-03-2013 19:51, Christofer Bogaso escreveu:
Hello again,
Hi,
Try this:
Vec[grepl(\\(,Vec)]-paste0(-,gsub([()],,Vec[grepl(\\(,Vec)]))
as.numeric(Vec)
# [1] 0.036578077 -1.097386482 -0.812507787 0.577806996 -0.452456601
#[6] -1.890081260 -1.871609376 0.005521704 -0.476919233 -2.413301888
A.K.
- Original Message -
From: Christofer Bogaso
Use gsub to convert the parenthesized expressions.
newvec - gsub(\\((.+)\\), -\\1, Vec)
If you have to do much of this, you should learn about regular expressions
-- there are many good tutorials on the Web -- and stop asking for help
here.
Cheers,
Bert
On Sat, Mar 23, 2013 at 12:51 PM,
train() in caret. See
http://caret.r-forge.r-project.org/
Also, the C5.0 function in the C50 is much more effective than J48.
Max
On Mar 23, 2013, at 2:57 PM, Nicolás Sánchez eni...@gmail.com wrote:
Good afternoon.
I would like to know if there is any function in R to do LOOCV with
Hello,
I have a trained Back Propagation Neural Network model in weka.
I would like to re-evaluate the NN using R with a given input.
How can I do this? I could not find an example of RWeca that applies to NN
Thanks,
Rui
__
R-help@r-project.org
Hello! I am trying to run a GLMM using LME4, and keep getting the warning
message: In mer_finalize(ans) : false convergence (8) I am quite new to R,
and in looking into this thus far, it appears that there are a variety of
reasons why this might occur, such as needing to standardize some
Post on r-sig-mixed-models not here.
You also might try shortening and simplifying your post per The Posting
Guide (link at the bottom of this post) to increase the chance that you'll
get a reply.
-- Bert
On Sat, Mar 23, 2013 at 1:47 PM, Leanna Jones leanna_jo...@hotmail.comwrote:
Hello! I
On Mar 23, 2013, at 12:51 PM, Christofer Bogaso wrote:
Hello again,
Let say I have following vector:
Vec - c(0.0365780769, (1.09738648244378), (0.812507787221523),
0.5778069963, (0.452456601362355), -1.8900812605, -1.8716093762,
0.0055217041, -0.4769192333, -2.4133018880)
If this is to
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